Dynamic Multi Granularity Service Composition

Authors(2) :-A. Ravi, Dr. B. Lalitha

The trend is for enterprises to outsource parts of their services, in order to concentrate on their own core `businesses. Meanwhile, users usually need to compose multiple different services to create a sophisticated application. Through the service-oriented architecture paradigm, users can compose elementary services to form new value added services through the process of service composition. In template-based service composition, an abstract composite service, consisting of a collection of abstract services orchestrated by workflow patterns, is first defined and then instantiated and executed at run time by binding abstract services to concrete ones. This dynamic binding ensures a loose -coupling of services and all so-called QoS-aware service composition problem. In existing work, to expand the selection scope using the concept of generalized component services, a backtracking-based algorithm and an extended genetic algorithm(GA) has been applied for finding an optimized solution and near-optimal solution respectively in composition service The proposed work, will adopt the multi-granularity service composition automatically at run time. This will be useful to study how to extend other Meta-heuristic algorithms along with Tabu-search algorithm used for efficient optimization service selection.

Authors and Affiliations

A. Ravi
Department of CSE, JNTUACE, Anatapur, Andhra Pradesh, India
Dr. B. Lalitha
Assistant Professor, Department of CSE, JNTUACE, Anatapur, Andhra Pradesh, India

Service Selection, Service Composition , Cloud Computing

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 584-590
Manuscript Number : CSEIT1724141
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

A. Ravi, Dr. B. Lalitha, "Dynamic Multi Granularity Service Composition", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.584-590, July-August-2017.
Journal URL : http://ijsrcseit.com/CSEIT1724141

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